Ankara

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Dremio for Self-Service Data Analysis

21 Hours
Dremio is an open-source "self-service data platform" that accelerates the querying of different types of data sources. Dremio integrates with relational databases, Apache Hadoop, MongoDB, Amazon S3, ElasticSearch, and other data sources. It supports SQL and provides a web UI for building queries. In this instructor-led, live training, participants will learn how to install, configure and use Dremio as a unifying layer for data analysis tools and the underlying data repositories. By the end of this training, participants will be able to:
  • Install and configure Dremio
  • Execute queries against multiple data sources, regardless of location, size, or structure
  • Integrate Dremio with BI and data sources such as Tableau and Elasticsearch
Audience
  • Data scientists
  • Business analysts
  • Data engineers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Notes
  • To request a customized training for this course, please contact us to arrange.
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Testimonials (11)

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics

I generally liked the fernando's knowledge.

Valentin de Dianous - Informatique ProContact INC.
Course - Big Data Architect

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R

Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra

Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics

The example and training material were sufficient and made it easy to understand what you are doing.

Teboho Makenete
Course - Data Science for Big Data Analytics

How big data work, data programs, greater knowledge of how our current world works using data

Ozayr Hussain - Vodacom
Course - A Practical Introduction to Data Analysis and Big Data

The practical side of the training.

Patrick - Vodacom PTy Ltd
Course - A Practical Introduction to Data Analysis and Big Data

Interactive topics and the style used by the lecture to simplified the topics for the students

Miran Saeed - Sulaymaniyah Asayish Agency
Course - A Practical Introduction to Data Analysis and Big Data

the trainer and his ability to lecture

ibrahim hamakarim - Sulaymaniyah Asayish Agency
Course - A Practical Introduction to Data Analysis and Big Data

Practical exercises

JOEL CHIGADA - University of the Western Cape
Course - A Practical Introduction to Data Analysis and Big Data

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